{"id":"W4393239195","doi":"10.2196/56196","title":"Implementing Systematic Patient-Reported Measures for Chronic Conditions Through the Naveta Value-Based Telemedicine Initiative: Observational Retrospective Multicenter Study","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Diabetes Management and Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Indian National Science Academy","keywords":"Medicine; Telemedicine; Observational study; Descriptive statistics; Logistic regression; Health care; Population; Internal medicine; Environmental health; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006680433,0.000430506,0.0005864573,0.001578592,0.0004924928,0.0007364398,0.000613917,0.000701022,0.001202436],"category_scores_gemma":[0.0116242,0.0003865501,0.0007068349,0.002245252,0.0004601447,0.0008440068,0.001063861,0.0005836489,0.0003343956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007769994,"about_ca_system_score_gemma":0.00122668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004428418,"about_ca_topic_score_gemma":0.003541065,"domain_scores_codex":[0.993973,0.003380729,0.0008179636,0.000668593,0.0007218397,0.0004379484],"domain_scores_gemma":[0.983316,0.003688409,0.009116311,0.001225631,0.001736979,0.0009166547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002058094,0.0001424881,0.9980028,0.0000466929,0.00003649259,0.00003044317,0.0002027126,0.00001907805,0.00004491012,0.000009596703,0.0001344986,0.001124374],"study_design_scores_gemma":[0.00006924818,0.0008781534,0.9972795,0.00004990457,0.00005327422,0.0001488361,0.0009098209,0.0001681058,0.00005231934,0.00001429806,0.0003675781,0.000008990659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972085,0.000314198,0.000328033,0.00004075573,0.000007035517,0.0002732587,0.001466133,0.000005901875,0.0003561692],"genre_scores_gemma":[0.9965586,0.0002570681,0.0004243443,0.00008177251,0.00002600137,0.0006059933,0.001897352,0.000004456325,0.0001443212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006680433,"threshold_uncertainty_score":0.03532988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302098597974975,"score_gpt":0.4362177775252815,"score_spread":0.306007917727784,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}